• Pranav vadanere
• Vrushali Shinde
• Karan bendigiri
• Prof Rakhi bharadwaj

Lung cancer is a third leading type of cancer that may cause death of a person. Early detection and diagnosis of the disease is essential to prolong the life of the patients affected with this scourge. For determining the cancer cells from medical images, various image processing and soft computing techniques can be used. CT-images are most commonly used for image processing. CT-image has properties like high resolution, better clarity, low noise and low distortion and etc. It is the best technique of image for detection of small nodules. This paper focuses on different techniques that have been proposed to provide detection of lung cancer nodules.

Cancer, Nodule Detection, Lung Nodule, CT Images, Preprocessing, Segmentation

"Lung Cancer Nodule Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.353-358, June-2020, Available :http://www.jetir.org/papers/JETIR2006050.pdf

"Lung Cancer Nodule Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp353-358, June-2020, Available at : http://www.jetir.org/papers/JETIR2006050.pdf